2023.8.24
研究会
Workshop on Data Assimilation and Dimensional Reduction
日時：2023.08.24
場所：Kanda Conference Room, Seminar Room 3 (3rd Floor)
言語：英語
趣旨
The primary objective of our research meeting was twofold. First, we aimed to deepen our understanding of Data Assimilation (DA) by connecting and comparing it with relevant fields. This included exploring various aspects of machine and deep learning, such as deep learning techniques, reservoir computing, and (conditional) Variational Autoencoders (VAE).
Second, we sought to extend DA to weather modification. This involved introducing control theory into DA and exploring dimensional reduction methods for Numerical Weather Prediction (NWP) to improve efficiency and accuracy in weather forecasting.
プログラム
| Time | Speaker | Content | |
|---|---|---|---|
| 09:00~ | Reception | ||
| 09:15-09:35 | Shunji Kotsuki (CU) | Opening & MS Project | |
| 09:35-10:00 | † | Craig Bishop (U. Melb.) | Bounded Variable DA |
| 10:00-10:25 | † | Fumitoshi Kawasaki (CU) | Quantum Data Assimilation |
| 10:25-11:05 | * | Daisuke Hotta (MRI) | Manifold aspect of DA |
| 11:05-11:30 | † | Pascal Oettli (CU) | Detection of Separation Scenario |
| 11:30-11:55 | † | Fumitoshi Kawasaki (CU) | Model Predictive Control |
| 11:55-13:00 | Group Photo → Lunch | ||
| 13:00-13:40 | * | Stephen Penny (Sofar Ocean) | Reservoir Computing for DA |
| 13:40-14:20 | * | Haruma Ishida (MRI) | Conditional VAE |
| 14:20-14:45 | † | Daiya Shiojiri (CU) | Sparse Sensing Placement (SSP) |
| 14:45-15:00 | Break | ||
| 15:00-15:25 | † | Mao Ouyang (CU) | SSP and Ens. Sens. Analysis |
| 15:25-15:50 | † | Craig Bishop (U. Melb.) | Ensemble TLM/ADJ |
| 15:50-16:30 | * | Hiroshi Kera (CU) | Adversarial Attack |
| 16:30-16:45 | All | Discussion | |
| 16:45-16:50 | Shunji Kotsuki (U) | Closing |
参加申し込み
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